Adaptive and fuzzy approaches for nodes affinity management in wireless ad-hoc networks
In most of the ad-hoc routing protocols, a static link lifetime (LL) is used for a newly discovered neighbors. Though this works well for networks with fixed infrastructures, it is inadequate for ad-hoc networks due to nodes mobility and frequent breaks of links. To overcome this problem, routing...
| Main Authors: | , |
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| Format: | Article |
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IOS Press
2008
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| Online Access: | http://eprints.usm.my/38256/ |
| _version_ | 1848878417563353088 |
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| author | Natsheh, Essam Tat, Chee Wan |
| author_facet | Natsheh, Essam Tat, Chee Wan |
| author_sort | Natsheh, Essam |
| building | USM Institutional Repository |
| collection | Online Access |
| description | In most of the ad-hoc routing protocols, a static link lifetime (LL) is used for a newly discovered neighbors. Though
this works well for networks with fixed infrastructures, it is inadequate for ad-hoc networks due to nodes mobility and frequent
breaks of links. To overcome this problem, routing protocols with estimated LL using nodes affinity were introduced. However,
these protocols also used the static estimated LL during the connection time. In contrast to that, in this paper two methods are
presented to estimate LL based on nodes affinity and then continually update those values depending on changes of the affinity.
In the first method, linear function is used to map the relationship between the signal strength fluctuation and LL. In the second
method, fuzzy logic system is used to map this relationship in a nonlinear fashion. Significance of the proposed methods is
validated using simulation. Results indicate that fuzzy method provides the most efficient and robust LL values for routing
protocols. |
| first_indexed | 2025-11-15T17:31:00Z |
| format | Article |
| id | usm-38256 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T17:31:00Z |
| publishDate | 2008 |
| publisher | IOS Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-382562018-01-05T02:52:54Z http://eprints.usm.my/38256/ Adaptive and fuzzy approaches for nodes affinity management in wireless ad-hoc networks Natsheh, Essam Tat, Chee Wan QA75.5-76.95 Electronic computers. Computer science In most of the ad-hoc routing protocols, a static link lifetime (LL) is used for a newly discovered neighbors. Though this works well for networks with fixed infrastructures, it is inadequate for ad-hoc networks due to nodes mobility and frequent breaks of links. To overcome this problem, routing protocols with estimated LL using nodes affinity were introduced. However, these protocols also used the static estimated LL during the connection time. In contrast to that, in this paper two methods are presented to estimate LL based on nodes affinity and then continually update those values depending on changes of the affinity. In the first method, linear function is used to map the relationship between the signal strength fluctuation and LL. In the second method, fuzzy logic system is used to map this relationship in a nonlinear fashion. Significance of the proposed methods is validated using simulation. Results indicate that fuzzy method provides the most efficient and robust LL values for routing protocols. IOS Press 2008 Article PeerReviewed Natsheh, Essam and Tat, Chee Wan (2008) Adaptive and fuzzy approaches for nodes affinity management in wireless ad-hoc networks. Mobile Information Systems , 4 (4). pp. 273-295. ISSN 1574-017X http://dx.doi.org/10.1155/2008/871712 |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science Natsheh, Essam Tat, Chee Wan Adaptive and fuzzy approaches for nodes affinity management in wireless ad-hoc networks |
| title | Adaptive and fuzzy approaches for nodes affinity management in wireless ad-hoc networks |
| title_full | Adaptive and fuzzy approaches for nodes affinity management in wireless ad-hoc networks |
| title_fullStr | Adaptive and fuzzy approaches for nodes affinity management in wireless ad-hoc networks |
| title_full_unstemmed | Adaptive and fuzzy approaches for nodes affinity management in wireless ad-hoc networks |
| title_short | Adaptive and fuzzy approaches for nodes affinity management in wireless ad-hoc networks |
| title_sort | adaptive and fuzzy approaches for nodes affinity management in wireless ad-hoc networks |
| topic | QA75.5-76.95 Electronic computers. Computer science |
| url | http://eprints.usm.my/38256/ http://eprints.usm.my/38256/ |